Association between physical activity and costs in very mild to moderately frail community-dwelling older adults: a cross-sectional study.
Cost
Exercise
Frailty
Healthy aging
Physical activity
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
08 Oct 2024
08 Oct 2024
Historique:
received:
24
06
2024
accepted:
01
10
2024
medline:
9
10
2024
pubmed:
9
10
2024
entrez:
8
10
2024
Statut:
epublish
Résumé
Physical activity (PA) plays a vital role in maintaining the functional ability that enables well-being in older age (healthy aging), potentially also saving costs for the healthcare system and society. The aim of this study was to examine the association between PA and healthcare and societal costs in a sample of very mild to moderately frail older adults. This cross-sectional study is a secondary analysis using baseline data from the PromeTheus randomized-controlled trial, which included 385 very mild to moderately frail community-dwelling older adults (70 + years) from Germany. Participants self-reported their health-related resource use in the previous 6 months (FIMA questionnaire), which was monetarily valued using standardized unit costs. PA was also self-reported using the German Physical Activity Questionnaire for middle-aged and older adults (German-PAQ-50+) and categorized as 'insufficient'/'sufficient' or 'insufficient'/'moderate'/'high' in accordance with the World Health Organization guidelines for PA. Mean and median healthcare costs (including outpatient, inpatient, rehabilitation, formal care, and medication costs) and societal costs (healthcare costs plus informal care costs) for different PA groups were estimated using generalized linear models and quantile regression, with sociodemographic variables and physical capacity (Short Physical Performance Battery) as covariates. Of the sample, 24% were classified as insufficiently, 23% as moderately, and 54% as highly active. Sufficient PA, especially high PA, was associated with lower costs in the 6 months prior to data collection compared to insufficient PA (-€6,237, 95% CI [-10,656; -1,817] and -€8,333, 95% CI [-12,183; -4,483], respectively). The cost difference between PA intensity groups was largely driven by differences in informal care costs and decreased substantially when physical capacity was accounted for in the analyses; e.g., the mean difference in societal costs between sufficient and insufficient PA decreased from -€7,615 (95% CI [-11,404; -3,825]) to -€4,532 (95% CI [-7,930; -1,133]). Promoting PA throughout the lifespan as a means of promoting healthy aging and reducing dependency in old age could potentially provide economic benefits and help to mitigate the economic consequences of an aging population with increasing health and long-term care needs. Future longitudinal studies should attempt to disentangle the mediating and confounding role of physical capacity and health status in the association between PA and costs.
Sections du résumé
BACKGROUND
BACKGROUND
Physical activity (PA) plays a vital role in maintaining the functional ability that enables well-being in older age (healthy aging), potentially also saving costs for the healthcare system and society. The aim of this study was to examine the association between PA and healthcare and societal costs in a sample of very mild to moderately frail older adults.
METHODS
METHODS
This cross-sectional study is a secondary analysis using baseline data from the PromeTheus randomized-controlled trial, which included 385 very mild to moderately frail community-dwelling older adults (70 + years) from Germany. Participants self-reported their health-related resource use in the previous 6 months (FIMA questionnaire), which was monetarily valued using standardized unit costs. PA was also self-reported using the German Physical Activity Questionnaire for middle-aged and older adults (German-PAQ-50+) and categorized as 'insufficient'/'sufficient' or 'insufficient'/'moderate'/'high' in accordance with the World Health Organization guidelines for PA. Mean and median healthcare costs (including outpatient, inpatient, rehabilitation, formal care, and medication costs) and societal costs (healthcare costs plus informal care costs) for different PA groups were estimated using generalized linear models and quantile regression, with sociodemographic variables and physical capacity (Short Physical Performance Battery) as covariates.
RESULTS
RESULTS
Of the sample, 24% were classified as insufficiently, 23% as moderately, and 54% as highly active. Sufficient PA, especially high PA, was associated with lower costs in the 6 months prior to data collection compared to insufficient PA (-€6,237, 95% CI [-10,656; -1,817] and -€8,333, 95% CI [-12,183; -4,483], respectively). The cost difference between PA intensity groups was largely driven by differences in informal care costs and decreased substantially when physical capacity was accounted for in the analyses; e.g., the mean difference in societal costs between sufficient and insufficient PA decreased from -€7,615 (95% CI [-11,404; -3,825]) to -€4,532 (95% CI [-7,930; -1,133]).
CONCLUSION
CONCLUSIONS
Promoting PA throughout the lifespan as a means of promoting healthy aging and reducing dependency in old age could potentially provide economic benefits and help to mitigate the economic consequences of an aging population with increasing health and long-term care needs. Future longitudinal studies should attempt to disentangle the mediating and confounding role of physical capacity and health status in the association between PA and costs.
Identifiants
pubmed: 39379954
doi: 10.1186/s12889-024-20253-x
pii: 10.1186/s12889-024-20253-x
doi:
Types de publication
Journal Article
Randomized Controlled Trial
Langues
eng
Sous-ensembles de citation
IM
Pagination
2737Subventions
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Organisme : German Innovation Fund
ID : #01NVF19020
Informations de copyright
© 2024. The Author(s).
Références
United Nations, Department of Economic and Social Affairs, Population Division. World population prospects 2022. Summary of results. New York: United Nations; 2022.
Beard JR, Officer A, de Carvalho IA, Sadana R, Pot AM, Michel JP, Lloyd-Sherlock P, Epping-Jordan JE, Peeters G, Mahanani WR, et al. The world report on ageing and health: a policy framework for healthy ageing. Lancet. 2016;387:2145–54.
doi: 10.1016/S0140-6736(15)00516-4
pubmed: 26520231
Werner C, Wolf-Belala N, Nerz C, Abel B, Braun T, Grüneberg C, Thiel C, Büchele G, Muche R, Hendlmeier I, et al. A multifactorial interdisciplinary intervention to prevent functional and mobility decline for more participation in (pre-)frail community-dwelling older adults (PromeTheus): study protocol for a multicenter randomized controlled trial. BMC Geriatr. 2022;22:124.
doi: 10.1186/s12877-022-02783-4
pubmed: 35164686
pmcid: 8842871
Moreno-Agostino D, Daskalopoulou C, Wu Y-T, Koukounari A, Haro JM, Tyrovolas S, Panagiotakos DB, Prince M, Prina AM. The impact of physical activity on healthy ageing trajectories: evidence from eight cohort studies. Int J Behav Nutr Phys Acti. 2020;17:92.
doi: 10.1186/s12966-020-00995-8
Daskalopoulou C, Stubbs B, Kralj C, Koukounari A, Prince M, Prina AM. Physical activity and healthy ageing: a systematic review and meta-analysis of longitudinal cohort studies. Ageing Res Rev. 2017;38:6–17.
doi: 10.1016/j.arr.2017.06.003
pubmed: 28648951
McPhee JS, French DP, Jackson D, Nazroo J, Pendleton N, Degens H. Physical activity in older age: perspectives for healthy ageing and frailty. Biogerontology. 2016;17:567–80.
doi: 10.1007/s10522-016-9641-0
pubmed: 26936444
pmcid: 4889622
Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, Carty C, Chaput JP, Chastin S, Chou R, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med. 2020;54:1451–62.
doi: 10.1136/bjsports-2020-102955
pubmed: 33239350
Ding D, Lawson KD, Kolbe-Alexander TL, Finkelstein EA, Katzmarzyk PT, van Mechelen W, Pratt M. The economic burden of physical inactivity: a global analysis of major non-communicable diseases. Lancet. 2016;388:1311–24.
doi: 10.1016/S0140-6736(16)30383-X
pubmed: 27475266
Santos AC, Willumsen J, Meheus F, Ilbawi A, Bull FC. The cost of inaction on physical inactivity to public health-care systems: a population-attributable fraction analysis. Lancet Glob Health. 2023;11:e32–9.
doi: 10.1016/S2214-109X(22)00464-8
pubmed: 36480931
Karl FM, Tremmel M, Luzak A, Schulz H, Peters A, Meisinger C, Holle R, Laxy M. Direct healthcare costs associated with device assessed and self-reported physical activity: results from a cross-sectional population-based study. BMC Public Health. 2018;18:966.
doi: 10.1186/s12889-018-5906-7
pubmed: 30075768
pmcid: 6090754
Gottschalk S, König HH, Weber A, Leitzmann MF, Stein MJ, Peters A, Flexeder C, Krist L, Willich SN, Nimptsch K, et al. Costs associated with insufficient physical activity in Germany: cross-sectional results from the baseline examination of the German national cohort (NAKO). Eur J Health Econ. 2024. [online ahead of print].
O’Caoimh R, Sezgin D, O’Donovan MR, Molloy DW, Clegg A, Rockwood K, Liew A. Prevalence of frailty in 62 countries across the world: a systematic review and meta-analysis of population-level studies. Age Ageing. 2021;50:96–104.
doi: 10.1093/ageing/afaa219
pubmed: 33068107
Colombo F, Llena-Nozal A, Mercier J, Tjadens F. Help wanted? Providing and paying for long-term care. Paris: OECD Health Policy Studies, OECD Publishing; 2011. https://www.oecd-ilibrary.org/content/publication/9789264097759-en .
doi: 10.1787/9789264097759-en
Comas-Herrera A, Wittenberg R, Costa-Font J, Gori C, Di Maio A, Patxot C, Pickard L, Pozzi A, Rothgang H. Future long-term care expenditure in Germany, Spain, Italy and the United Kingdom. Ageing Soc. 2006;26:285–302.
doi: 10.1017/S0144686X05004289
Ding D, Kolbe-Alexander T, Nguyen B, Katzmarzyk PT, Pratt M, Lawson KD. The economic burden of physical inactivity: a systematic review and critical appraisal. Br J Sports Med. 2017;51:1392.
doi: 10.1136/bjsports-2016-097385
pubmed: 28446455
Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, Mitnitski A. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173:489–95.
doi: 10.1503/cmaj.050051
pubmed: 16129869
pmcid: 1188185
Fleiner T, Nerz C, Denkinger M, Bauer JM, Grüneberg C, Dams J, Schäufele M, Büchele G, Rapp K, Werner C. Prevention at home in older persons with (pre-)frailty: analysis of participants' recruitment and characteristics of the randomized controlled PromeTheus trial. Aging Clin Exp Res. 2024;36:120.
Seidl H, Bowles D, Bock JO, Brettschneider C, Greiner W, König HH, Holle R. [FIMA–questionnaire for health-related resource use in an elderly population: development and pilot study]. Gesundheitswesen. 2015;77:46–52.
pubmed: 24806594
Muntendorf LK, Brettschneider C, Konnopka A, König HH. [Updating standardized unit costs from a societal perspective for health economic evaluation]. Gesundheitswesen. 2024;86:389–93.
OECD. "Inflation (CPI)" (indicator). 2022. https://doi.org/10.1787/eee82e6e-en . Accessed 21 Nov 2022.
Rote Liste Service GmbH. ROTE LISTE 2022: Pharmaceutical directory for Germany (including EU approvals and certain medical devices). Frankfurt/Main: Rote Liste Service GmbH; 2022.
Huy C, Schneider S. [Instrument for the assessment of middle-aged and older adults’ physical activity: design, reliability and application of the German-PAQ-50+]. Z Gerontol Geriatr. 2008;41:208–16.
doi: 10.1007/s00391-007-0474-y
pubmed: 18327696
Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O’Brien WL, Bassett DR Jr, Schmitz KH, Emplaincourt PO, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32:S498-504.
doi: 10.1097/00005768-200009001-00009
pubmed: 10993420
Ainsworth BE, Haskell WL, Herrmann SD, Meckes N, Bassett DR Jr, Tudor-Locke C, Greer JL, Vezina J, Whitt-Glover MC, Leon AS. 2011 Compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc. 2011;43:1575–81.
doi: 10.1249/MSS.0b013e31821ece12
pubmed: 21681120
Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, Scherr PA, Wallace RB. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49:M85-94.
doi: 10.1093/geronj/49.2.M85
pubmed: 8126356
Malehi AS, Pourmotahari F, Angali KA. Statistical models for the analysis of skewed healthcare cost data: a simulation study. Health Econ Rev. 2015;5:11.
doi: 10.1186/s13561-015-0045-7
pubmed: 26029491
pmcid: 4442782
Chen S, Zhou XHA. Modeling and analysis of cost data. In: Sobolev B, Gatsonis C, editors. Methods in health services research. New York: Springer US; 2018. p. 1–32.
Belotti F, Deb P, Manning WG, Norton EC. Twopm: two-part models. Stata J. 2015;15:3–20.
doi: 10.1177/1536867X1501500102
Ludwig K, von der Graf JM, Greiner W. German value set for the EQ-5D-5L. Pharmacoeconomics. 2018;36:663–74.
doi: 10.1007/s40273-018-0615-8
pubmed: 29460066
pmcid: 5954069
Kempen GI, Yardley L, van Haastregt JC, Zijlstra GA, Beyer N, Hauer K, Todd C. The short FES-I: a shortened version of the falls efficacy scale-international to assess fear of falling. Age Ageing. 2008;37:45–50.
doi: 10.1093/ageing/afm157
pubmed: 18032400
Gomes GAO, Brown WJ, Codogno JS, Mielke GI. Twelve year trajectories of physical activity and health costs in mid-age Australian women. Int J Behav Nutr Phys Act. 2020;17:101.
doi: 10.1186/s12966-020-01006-6
pubmed: 32778110
pmcid: 7418418
Statistik der Bundesagentur für Arbeit. Berichte: Blickpunkt Arbeitsmarkt – Arbeitsmarktsituation im Pflegebereich. ed. 2023. https://statistik.arbeitsagentur.de/DE/Statischer-Content/Statistiken/Themen-im-Fokus/Berufe/Generische-Publikationen/Altenpflege.pdf;jsessionid=075E2D61CDA8654039340DBD7AE96831?__blob=publicationFile&v=15 . Accessed 04.10.2023.
Yang G, Niu K, Fujita K, Hozawa A, Ohmori-Matsuda K, Kuriyama S, Nakaya N, Ebihara S, Okazaki T, Guo H, et al. Impact of physical activity and performance on medical care costs among the Japanese elderly. Geriatr Gerontol Int. 2011;11:157–65.
doi: 10.1111/j.1447-0594.2010.00651.x
pubmed: 20874840
Liu-Ambrose TY, Ashe MC, Marra C. Independent and inverse association of healthcare utilisation with physical activity in older adults with multiple chronic conditions. Br J Sports Med. 2010;44:1024–8.
doi: 10.1136/bjsm.2008.046458
pubmed: 18487254
Rapp T, Ronchetti J, Sicsic J. Impact of formal care consumption on informal care use in Europe: what is happening at the beginning of dependency? Health Policy. 2022;126:632–42.
doi: 10.1016/j.healthpol.2022.04.007
pubmed: 35501205
World Health Organization: Global Physical Activity Questionnaire (GPAQ). https://www.who.int/publications/m/item/global-physical-activity-questionnaire .
Leitzmann M, Gastell S, Hillreiner A, Herbolsheimer F, Baumeister SE, Bohn B, Brandes M, Greiser H, Jaeschke L, Jochem C, et al. [Physical activity in the German National Cohort (NAKO): use of multiple assessment tools and initial results]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2020;63:301–11.
doi: 10.1007/s00103-020-03099-7
pubmed: 32055903
Van Holle V, De Bourdeaudhuij I, Deforche B, Van Cauwenberg J, Van Dyck D. Assessment of physical activity in older Belgian adults: validity and reliability of an adapted interview version of the long International Physical Activity Questionnaire (IPAQ-L). BMC Public Health. 2015;15:433.
doi: 10.1186/s12889-015-1785-3
pubmed: 25928561
pmcid: 4427934
Seidl H, Hein L, Scholz S, Bowles D, Greiner W, Brettschneider C, König HH, Holle R. [Validation of the FIMA questionnaire for health-related resource use against medical claims data: the role played by length of recall period]. Gesundheitswesen. 2021;83:66–74.
pubmed: 31698476